Marshall, MN, United States
Marshall, MN, United States

Southwest Minnesota State University is a public, four-year university that is part of the Minnesota State Colleges and Universities System. It is located in Marshall, Minnesota, United States, a city of 13,680 people. The school has a full-time enrollment of approximately 3,700 students and employs 148 faculty members. It is divided into two major colleges, the College of Arts, Letters, and science, and the College of Business, Education, and Professional Studies. SMSU is accredited by the North Central Association of Colleges and Schools. Wikipedia.


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Gonela V.,Southwest Minnesota State University | Zhang J.,California Baptist University | Osmani A.,Minnesota State University, Moorhead
Computers and Industrial Engineering | Year: 2015

Bioethanol has been considered as an important type of renewable energy that can help reduce energy crisis and environmental degradation. Under economic, technology, and sustainability consideration, food based 1st generation bioethanol and lignocellulosic-based 2nd generation bioethanol have to exist simultaneously. Therefore, it is necessary to design a hybrid generation bioethanol supply chain (HGBSC) to sustainably meet the ever-increasing energy demand and different government-mandated sustainability standards related to green sustainability such as greenhouse gas (GHG) emissions, irrigation land and water usage, and energy efficiency. This paper is the first to examine different type of bioethanol plant configurations including industrial symbiosis strategy in order to meet high sustainability standards and design robust and sustainable industrial symbiosis based hybrid generation bioethanol supply chains (ISHGBSC). A novel stochastic mixed integer linear programming (SMILP) model is proposed to design the optimal ISHGBSC under different sustainability standards. A case study of North Dakota (ND) in USA has been studied as an application of the proposed model. The results show that some sustainability standards are stronger than others in terms of the number of green sustainability requirements met. When stronger sustainability standards are applied, the economic performance of the ISHGBSC is sacrificed. The results provide a guideline for policymakers to determine the appropriate standard to use under different sustainable concerns, and for policymakers and investors the best ISHGSBC structure under each standard. In addition, the results provide investors a guideline to invest in different technologies under different sustainability standards. Sensitivity analyses is also conducted to provide deep understanding of the proposed ISHGBSC and to identify the factors that might impact the stability of the ISHGBSC under different standards. © 2015 Elsevier Ltd. All rights reserved.


Hong D.,Rutgers University | Man S.,Southwest Minnesota State University
Journal of Theoretical Biology | Year: 2010

An emerging notion in systems biology is that biological networks have evolved to function well while their components behave stochastically. Thus, the dynamics in a biological network consist of two parts, deterministic and stochastic. A fundamental question is to find a quantitative relation between the two parts. We term such a relation as a deterministic-stochastic principle (DSP) and propose a model for a DSP with regard to signal propagation in biological networks. In this model, (i) the dynamics in a biological network is supposed to be captured by a stochastic differential equation which has been a standard approach in modeling systems with internal noise; (ii) the internal noise of a biological network is weak as is apparent in experimental observations; and (iii) a biological network is organized as small-world as suggested by recent studies. We introduce the concept of a signaling sample path. Using this concept we relate the structure of a biological network to its dynamics. The network structure characterizes the deterministic part of the dynamics, which in turn ensures a probability for a signal to propagate. The weakness of the internal noise characterizes the stochastic part of the dynamics. Analysis of the proposed model yields a quantitative description as follows: In a small-world biological network with weak internal noise, the signaling pathways (induced by the network structure) for a signal may ensure a probability near 0 for the signal propagation. Despite such a small probability, a correct response to the signal will still occur with a probability close to 1 provided that this signal propagation can take a certain amount of time. Computer simulations are performed to illustrate this result. We also discuss how a recent study on the reconstruction of a transcription network in Saccharomyces cerevisiae has tested the proposed model against real data.


Man S.,Southwest Minnesota State University | Hong D.,Rutgers University | Palis M.A.,Rutgers University | Martin J.V.,Rutgers University
Neurocomputing | Year: 2011

A computational model, the bounded composite inverse-d architecture (BCIA), was developed to characterize signaling in small-world networks with large but bounded numbers of nodes, as in human brains. The model is based upon an N-dimensional symmetrical grid with borders, with complete local connections from each node and relatively fewer long-range connections. The length of the signaling pathway generated by a greedy algorithm between two nodes exhibited polylogarithmic behavior when the grid distance between the nodes was less than m, the maximal length of a long-range connection for that network. The simulated length of signaling pathway became linear with internode distance when the grid distance between the two nodes was greater than m. The intensity of long-range connections among nodes was found to be negatively related to the simulated length of signaling pathway. For a constant grid distance between nodes, the average length of a simulated signaling pathway increased with dimension of the BCIA graph. Most strikingly, BCIA simulations of networks with large but bounded numbers (109-1013) of nodes, approximating the number of neurons in the human brain, found that the length of simulated signaling pathway can be substantially shorter than that predicted by the best known asymptotic theoretical bound in small-world networks of infinite size. © 2011 Elsevier B.V.


Hong D.,Rutgers University | Man S.,Southwest Minnesota State University | Martin J.V.,Rutgers University
Journal of Theoretical Biology | Year: 2016

There are two functionally important factors in signal propagation in a brain structural network: the very first synaptic delay-a time delay about 1. ms-from the moment when signals originate to the moment when observation on the signal propagation can begin; and rapid random fluctuations in membrane potentials of every individual neuron in the network at a timescale of microseconds. We provide a stochastic analysis of signal propagation in a general setting. The analysis shows that the two factors together result in a stochastic mechanism for the signal propagation as described below. A brain structural network is not a rigid circuit rather a very flexible framework that guides signals to propagate but does not guarantee success of the signal propagation. In such a framework, with the very first synaptic delay, rapid random fluctuations in every individual neuron in the network cause an "alter-and-concentrate effect" that almost surely forces signals to successfully propagate. By the stochastic mechanism we provide analytic evidence for the existence of a force behind signal propagation in a brain structural network caused by rapid random fluctuations in every individual neuron in the network at a timescale of microseconds with a time delay of 1 ms. © 2015.


Bissett R.L.,Ohio University | Cheng M.S.H.,Southwest Minnesota State University | Brannan R.G.,Ohio University
Journal of Food Science Education | Year: 2010

Professional organizations have linked core competency to professional success and competitive strategy. The Research Chefs Assn. (RCA) recently released 43 core competencies for practicing culinologists. Culinology ® is a profession that links skills of culinary arts and food science and technology in the development of food products. An online survey was created asking RCA members from all 6 membership categories (Associate, Affiliate, Chef, Culinology, Food Science and Technology (FS&T), and Student) to rate their knowledge level based on a 7-point scale and agreement to importance in job performance based on a 5-point Likert scale for each competency statement. RCA participant's (N = 192) survey results were analyzed using SPSS for Windows version 13.0 at a significance level of P < 0.05. Statistical survey validation grouped all 43 competency statements into 8 factors (groupings) according to level of competency proficiency (opposed to the 7 groups each competency was originally designated by the RC A) and into 9 factors according to job success. Results suggest that Chef Members know "Culinary Arts" best and FS&T members know "Food Science" best. A gap analysis determined what competency factors were low in knowledge level yet important to job success for each membership category. Chef members have a lower level of knowledge in "Product Development," "Food Science," and "Quality Assurance" factors; however, the factors are important to job success. FS&T members have a lower level of knowledge in "Nutrition" yet identified the factor important to job success. An opportunity exists to improve educational efforts for specific membership categories. © 2010 Institute of Food Technologists ®.


Brown J.H.,Southwest Minnesota State University
Journal of Chemical Education | Year: 2015

Cyclic voltammetry (CV) is a popular technique for the study of electrochemical mechanisms because the method can provide useful information on the redox couple. The technique involves the application of a potential ramp on an unstirred solution while the current is monitored, and then the ramp is reversed for a return sweep. CV is sometimes introduced in undergraduate chemistry laboratories. The CV waveform is dependent on several processes including charge transfer, diffusion, and coupled homogeneous reactions. Computer simulations are sometimes used to study these effects. An easy-to-use CV simulator was written in Microsoft Excel for the purpose of teaching undergraduate students and to serve as an entryway to more sophisticated electrochemical simulations. © 2015 The American Chemical Society and Division of Chemical Education, Inc.


Cyclic voltammetry (CV) is a popular technique for the determination of electrochemical mechanisms because it can provide useful information on a redox couple. Computer simulations of CV data are sometimes used to study complex redox systems with interrelated processes. The following communication outlines an expanded version of an experiment developed to introduce undergraduate students to CV and electrochemical simulations. A new solvent/electrolyte system of dimethylformamide with 0.1 M tetrabutylammonium hexafluorophosphate increases analyte solubility, improves sample conductivity, and extends the electrochemical domain as compared to the original experiment. Simulation parameters determined by wave clipping the first redox couple of a series are used to simulate a more complex two-redox system of the same compound. Experiments designed to teach CV and electrochemical simulations to undergraduate students rarely use wave clipping as a technique to simplify experimental data for the analysis of a more complex system. The addition of wave clipping and the analysis of a two redox system increase the laboratory experience gained by the students as compared to the original experiment, which was limited to a single redox couple. © 2016 The American Chemical Society and Division of Chemical Education, Inc.


Campanelli M.,Southwest Minnesota State University | Gedeon T.,Montana State University
PLoS Computational Biology | Year: 2010

Somitogenesis is a process common to all vertebrate embryos in which repeated blocks of cells arise from the presomitic mesoderm (PSM) to lay a foundational pattern for trunk and tail development. Somites form in the wake of passing waves of periodic gene expression that originate in the tailbud and sweep posteriorly across the PSM. Previous work has suggested that the waves result from a spatiotemporally graded control protein that affects the oscillation rate of clock-gene expression. With a minimally constructed mathematical model, we study the contribution of two control mechanisms to the initial formation of this gene-expression wave. We test four biologically motivated model scenarios with either one or two clock protein transcription binding sites, and with or without differential decay rates for clock protein monomers and dimers. We examine the sensitivity of wave formation with respect to multiple model parameters and robustness to heterogeneity in cell population. We find that only a model with both multiple binding sites and differential decay rates is able to reproduce experimentally observed waveforms. Our results show that the experimentally observed characteristics of somitogenesis wave initiation constrain the underlying genetic control mechanisms. © 2010 Campanelli, Gedeon.


Henning T.,Southwest Minnesota State University
Journal of Asynchronous Learning Network | Year: 2012

This paper is a study of the author's experiences taking a six-week, asynchronous, online, faculty development class for educators at the secondary and postsecondary levels. Using autoethnography methods, the author details her learning and the ways her experiences support adult learning theories. Implications of this research suggest that adult learning theories should also be applied to faculty development experiences because faculty are more likely to benefit from online faculty development if they are given the opportunity to direct the course of their development to suit their own needs.


Bell J.W.,Purdue University | Bell J.W.,Southwest Minnesota State University | Chen D.,Spinal USA | Bahls M.,Purdue University | Newcomer S.C.,Purdue University
Journal of Spinal Cord Medicine | Year: 2013

Objective: To investigate lower-extremity arterial hemodynamics in individuals with spinal cord injury (SCI). We hypothesized that oscillatory shear index would be altered and resting mean shear would be higher in the lowerextremity arteries of SCI. Research: Cross-sectional study of men and women with SCIs compared to able-bodied controls. Subjects: Subjects included 105 ages 18-72 years with American Spinal Injury Association (ASIA) Impairment Scale grades A, B, or C and injury duration at least 5 years. Subjects were matched for age and cardiovascular disease risk factors with 156 able-bodied controls. Methods: Diameter and blood velocity were determined with subject at rest via ultrasound in superficial femoral, popliteal, brachial, and carotid arteries. Mean shear, antegrade shear, retrograde shear, and oscillatory shear index were calculated. Results: Oscillatory shear index was lower in SCI compared to controls for superficial femoral (0.16 ± 0.10 vs. 0.26 ± 0.06, P < 0.01) and popliteal arteries (0.20 ± 0.11 vs. 0.26 ± 0.05, P < 0.01). Mean shear rate was higher in SCI compared to controls for superficial femoral (43.54 ± 28.0 vs. 20.48 ± 13.1/second, P < 0.01) and popliteal arteries (30.43± 28.1 vs. 11.68 ± 9.5/second, P < 0.01). Conclusions: The altered resting hemodynamics in SCI are consistent with an atheroprotective hemodynamic environment. © The Academy of Spinal Cord Injury Professionals, Inc. 2013.

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